Operations | Monitoring | ITSM | DevOps | Cloud

Software as a Service (SaaS) applications are the driving force behind modern digital enterprises, enabling seamless business operations across industries like finance, marketing, retail, and IT. From CRM platforms and e-commerce solutions to project management tools and cloud storage services, these applications offer businesses the agility and scalability they need to thrive.

In today’s fast-paced development landscape, containerization has become a cornerstone for deploying scalable and efficient applications. Docker, as one of the most popular container platforms, offers a robust environment for building and running containers. However, with great power comes the need for greater scrutiny, i.e., Docker monitoring or observability. Understanding Docker metrics is key to maintaining optimal performance and ensuring your containerized applications run smoothly.

Imagine a day at work where you realize that your team’s youngest developer has failed to kill a compute instance; the bill spikes and the budget is breached. Rightsizing recommendations would come to the rescue and play a crucial role in such situations by identifying underutilized, overutilized, or mismanaged resources and suggesting corrective actions.

Top tips is a weekly column where we highlight what’s trending in the tech world today and list ways to explore these trends. This week, we’re going over four ways to minimize shadow IT within your organization. IT is the backbone of every modern enterprise, but managing it effectively requires full visibility into all users, devices, and activity—both inside and outside your infrastructure.

Databases are fundamental to almost all applications, facilitating everything from financial dealings to social media engagements. Nonetheless, efficient database performance monitoring frequently resembles maneuvering through a labyrinth, with concealed traps that may result in diminished performance or expensive downtime. In this article, we will examine frequent mistakes in database monitoring and offer helpful advice to avoid them.

Kubernetes is at the heart of modern cloud-native applications, but achieving effective observability is no easy feat. Managing workloads, ensuring performance efficiency, and keeping costs under control demand the right strategies and tools. If you’re grappling with Kubernetes complexity, struggling with monitoring blind spots, or seeking to optimize your deployments, we have the perfect event for you.

Technical debt accumulates when short-term solutions lead to long-term software inefficiencies, increasing maintenance costs, slowing development, and degrading performance. To effectively manage technical debt, teams need full-stack observability, from a high-level application view down to code execution and thread-level analysis. Tackling technical debt ensures long-term software sustainability.

PostgreSQL is a powerful and widely used relational database, but like any system, it can suffer from performance bottlenecks. Without proper management, slow queries, inefficient indexing, and resource contention can lead to sluggish performance. In this blog, we will explore the top 10 PostgreSQL performance issues and how to fix them.